Raphael Hauser

982 citations
46 papers · 565 · h-index 11

Impact in

Papers in

Raphael Hauser

38 papers receiving 534 citations

Peers

Raphael Hauser
Comparison fields: 5 of 82
  • Numerical Analysis 62
  • Cardiology and Cardiovascular Medicine 219
  • Computational Mathematics 5
  • Computational Theory and Mathematics 64
  • Critical Care and Intensive Care Medicine 15
Replace Rami Katz with:
Rami Katz Israel
Daniele Lamponi Italy
Jorge J. Betancor Spain
Paula Sabrina Martins Gomes da Rocha Portugal
Claudio De Lazzari Italy
Julia Calatayud Spain
Marcus Wagner Germany
A. Cristiano I. Malossi Switzerland
Tobias Köppl Germany
Thomas Goldstein United States
Raphael Hauser relative to Rami Katz Israel Rami Katz's profile →
Citations per field
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Citations per year

Countries citing papers authored by Raphael Hauser

Since Specialization
Citations

This map shows the geographic impact of Raphael Hauser's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Raphael Hauser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphael Hauser more than expected).

Fields of papers citing papers by Raphael Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raphael Hauser. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Raphael Hauser. The network helps show where Raphael Hauser may publish in the future.

Co-authors

The 25 scholars most cited alongside Raphael Hauser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Raphael Hauser Line = papers co-authored together Raphael Hauser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202191
2 202185
3 202078
4 200673
5 202227
6 200226
7 200221
8 200519
9 200515
10 201414
11 202012
12 200211
13 20188
14 20058
15 20237
16 20197
17 20246
18 20225
19 20055
20 20085

About Raphael Hauser

Raphael Hauser is a scholar working on Numerical Analysis, Statistics and Probability, Computational Theory and Mathematics, Cardiology and Cardiovascular Medicine and Computational Mechanics, having authored 46 papers that have together received 565 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (8 papers), Cardiovascular Function and Risk Factors (6 papers), Sparse and Compressive Sensing Techniques (5 papers), Matrix Theory and Algorithms (5 papers), Face and Expression Recognition (4 papers), Markov Chains and Monte Carlo Methods (3 papers), Optimization and Variational Analysis (3 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Numerical Analysis (62 citations), Cardiology and Cardiovascular Medicine (219 citations), Computational Mathematics (5 citations), Computational Theory and Mathematics (64 citations) and Critical Care and Intensive Care Medicine (15 citations). Raphael Hauser has collaborated with scholars based in United Kingdom, Denmark and United States. Frequent co-authors include Tor Biering‐Sørensen, Kristoffer Grundtvig Skaarup, Anne Bjerg Nielsen, Niklas Dyrby Johansen, Andreas A. Argyriou, Charles A. Micchelli, Peter Schnohr, Rasmus Møgelvang, Mats Christian Højbjerg Lassen and Massimiliano Pontil. Their work appears in journals such as SIAM Journal on Optimization, European Heart Journal - Cardiovascular Imaging, European Heart Journal, Foundations of Computational Mathematics and International Journal of Cardiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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